Machine Learning: A Constraint-Based Approach. Marco Gori, Alessandro Betti, Stefano Melacci
Machine-Learning-A.pdf
ISBN: 9780323898591 | 680 pages | 17 Mb
- Machine Learning: A Constraint-Based Approach
- Marco Gori, Alessandro Betti, Stefano Melacci
- Page: 680
- Format: pdf, ePub, fb2, mobi
- ISBN: 9780323898591
- Publisher: Elsevier Science
Books google download pdf Machine Learning: A Constraint-Based Approach in English CHM RTF by Marco Gori, Alessandro Betti, Stefano Melacci
Machine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that include neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. It draws a path towards deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, such as in fuzzy systems. Special attention is given to deep learning, which nicely fits the constrained-based approach followed in this book. The book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, including many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.
Machine Learning : A Constraint-Based Approach by Marco
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Machine Learning: A Constraint-Based Approach - AbeBooks
Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning,
Machine Learning - 2nd Edition - Elsevier
Machine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and algorithms of machine learning
Machine Learning: A Constraint-Based Approach - Marco Gori
Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning
Machine Learning: A Constraint-Based - ResearchGate
Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning,
A CONSTRAINT-BASED APPROACH By Gori Marco Ph.d
While regarding symbolic knowledge bases as a collection of constraints, the book draws a path towards a deep integration with machine learning that relies on
Machine Learning: A Constraint-Based Approach - Marco Gori
Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning,
A Constraint-Based Approach to Learning and Explanation
In this paper we propose a novel approach to learning of constraints which is based on information theoretic principles. The basic idea consists in
An overview of machine learning techniques in constraint
A constraint on a set of variables defines a restriction on possible combinations of variable assignments (Apt, 2003). Constraint Satisfaction
Machine Learning: A Constraint-Based Approach - Gori Ph.D
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A Constraint-Based Approach to Learning and Explanation
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). A Constraint-Based Approach to Learning and Explanation.
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